TABLE 2.
Goodness-of-Fit indicators of confirmatory factor analyses.
| Model | χ2 | df | χ2/df | GFI | RMSEA |
| Climate change (n = 1,601) | |||||
| Model 1 (orthogonal) | 4747.56*** | 90 | 52.75 | 0.74 | 0.18 |
| Model 1 (correlated) | 2729.31*** | 89 | 30.67 | 0.85 | 0.14 |
| Model 2 (orthogonal) | 7058.52*** | 90 | 78.43 | 0.61 | 0.22 |
| Model 3 (correlated) | 443.60*** | 13 | 34.12 | 0.95 | 0.14 |
| Coronavirus pandemic (n = 1,602) | |||||
| Model 1 (orthogonal) | 2118.49*** | 90 | 23.54 | 0.73 | 0.12 |
| Model 1 (correlated) | 1694.97*** | 89 | 19.04 | 0.79 | 0.11 |
| Model 2 (orthogonal) | 3066.46*** | 90 | 30.07 | 0.61 | 0.14 |
| Model 2 (correlated) | 1365.10*** | 84 | 16.25 | 0.83 | 0.10 |
| Model 3 (orthogonal) | 287.50*** | 14 | 20.54 | 0.92 | 0.11 |
| Model 3 (correlated) | 144.49*** | 13 | 11.11 | 0.96 | 0.08 |
*** < 0.001. orthogonal: orthogonal factors. correlated: correlated factors. For climate change, Model 2 with correlated factors and Model 3 with orthogonal factors did not converge. Models 1 and 2 use all psychometric items; Model 3 uses only seven of them.